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RoBERTa-tg – AI Model by muhtasham | AlphaNeural AI
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RoBERTa-tg
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
tg
autotrain_compatible
endpoints_compatible
us
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RoBERTa-tg
This model is a fine-tuned version of
Tajik-Corpus
dataset which is based on Leipzig Corpora.
Model description
You can use model for masked text generation or fine-tune it to a downstream task.
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 128
eval_batch_size: 8
seed: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Tokenizers 0.12.1
